Tag: LLMs

Learn how to effectively debug AI systems in production by pinpointing issues in prompts, model behavior, and data, using practical …

Build a collaborative AI assistant using multi-agent principles, leveraging tools and orchestration to solve complex problems.

Explore Multimodal Retrieval Augmented Generation (RAG) to enhance AI knowledge bases by integrating and querying text, image, audio, and …

Get hands-on building your first autonomous AI agent using Python and LangChain. Learn to integrate LLMs, tools, and memory to create a …

Explore the critical aspects of testing, evaluating, and observing AI agents and multi-agent systems to ensure reliability, manage emergent …

Explore the evolution of AI architectures, focusing on Large Language Models (LLMs), Generative AI, and AI Agents. Learn patterns like RAG, …

Build an automated financial analysis assistant using CrewAI. Learn to define agents, integrate tools, manage tasks, and orchestrate a …

Explore the essential role of memory in AI agents, covering different memory types, storage, retrieval, and how agents use them to learn and …

Master debugging techniques for AI models and data pipelines, covering data quality, model performance, prompt engineering, and …

Learn how to fine-tune Large Language Models for specific tasks using efficient techniques like PEFT and the Hugging Face library.

Learn how to interact with Large Language Models using AI APIs in Python, setting the foundation for building intelligent applications.

Learn how to implement a Retrieval-Augmented Generation (RAG) system to enhance LLMs with external knowledge.